Staff Software Engineer

Hover helps people design, improve, and protect the properties they love. With proprietary AI built on over a decade of real property data, Hover answers age-old questions like "What will it look like?" and "What will it cost?" Homeowners, contractors, and insurance professionals rely on Hover to get fully measured, accurate, and interactive 3D models of any property - all from a smartphone scan in minutes.n

At Hover, we're driven by curiosity, purpose, and a shared commitment to serving our customers, communities, and each other. We believe the best ideas come from diverse perspectives and are proud to cultivate an inclusive, high-performance culture that inspires growth, accountability, and excellence. Backed by leading investors like Google Ventures and Menlo Ventures, and trusted by industry leaders including Travelers, State Farm, and Nationwide - we're redefining how people understand and interact with their spaces.

Why Hover wants you nWe're expanding Hover's 3D Reconstruction platform to solve one of our most ambitious technical challenges: transforming real-world sensor data into accurate, structured, CAD-quality models at scale. Computer Vision doesn't just support Hover's products, it defines them. We're looking for either a Senior or Staff Computer Vision Engineer who can turn cutting-edge research into scalable production capabilities while helping shape the future of our reconstruction systems.nThis role is ideal for someone who wants to own meaningful technical work end to end, move quickly without large-company bureaucracy, and help build accurate digital twin models of the real world at scale. You'll work across research, experimentation, and production: reading papers, reproducing and adapting promising academic approaches, training deep learning models, designing rigorous experiments, building proof-of-concepts, and turning successful ideas into robust engineered systems that reach users.nAt the Staff level, this role is ideal for a technical leader who is equally comfortable with deep 3D reconstruction work, product strategy, architectural tradeoffs, experiment design, and production deployment. You'll help connect long-term technical vision, day-to-day engineering execution, and market-driven product needs so Hover's CV roadmap delivers maximum customer and business impact.nYou'll join a high-performing team of computer vision researchers, reconstruction engineers, graphics specialists, and 3D modelers building systems that turn real-world capture into accurate digital twin models at commercial scale.nYou will contribute bynIn this role, you will design, prototype, evaluate, and productionize advanced computer vision and deep learning systems for 3D reconstruction, scene understanding, semantic modeling, and structured property representation. You will work across the full lifecycle of applied research and engineering: identifying relevant academic and industry approaches, writing project plans and technical specs, building proof-of-concepts, training and evaluating models, analyzing reconstruction quality and performance, and integrating successful approaches into production systems.nYou will partner closely with 3D reconstruction, Product, Design, Engineering, modeling, infrastructure, graphics, frontend, and backend teams to turn ambiguous technical and customer needs into clearly scoped experiments and production capabilities. Success in this role requires strong technical judgment, clear communication, and the ability to make practical tradeoffs between research quality, user impact, production constraints, performance, reliability, and cost.nYour work may include mobile capture, aerial imagery, multimodal sensor fusion, multi-view reconstruction, pose estimation, feature matching, dense geometry, model fitting, semantic understanding, volumetric, surfel, or surface-based representations, CAD-quality structured outputs, and emerging methods such as Gaussian Splatting, VLMs, or foundation-model-style approaches for correspondence and 3D understanding.nAt the Staff level, you will also be expected to shape technical direction across larger initiatives: framing problems, sizing opportunities, prioritizing technical investments, and making "stop u002F iterate u002F scale" judgments across reconstruction approaches, model development, data strategy, quality targets, and product impact. You will communicate technical tradeoffs, resource needs, and roadmap implications to cross-functional partners and leadership.nYou will help raise the technical bar for the team by setting standards for performance, reliability, maintainability, and cost; leading by example in Python andu002For C++; and mentoring engineers through design reviews, architecture discussions, experiment plans, and production-readiness reviews.nYour background includesnn5+ years of experience in computer vision, machine learning, or 3D reconstruction within academic research andu002For industry environments, with deep domain expertise and a strong track record of solving complex technical problems.nHands-on experience with one or more areas of modern 3D vision and reconstruction, such as multi-view geometry, pose estimation, camera calibration, structure-from-motion, feature matching, dense reconstruction, structured 3D reconstruction, model fitting, optimization, scene understanding, semantic modeling, or structured 3D representation.nPractical deep learning experience, ideally applied to 3D reconstruction, geometry, correspondence, pose, segmentation, semantic understanding, VLMs, or related spatial ML problems.nStrong software engineering skills in Python andu002For C++.nAbility to prototype quickly, train models, evaluate approaches rigorously, and translate promising research into practical systems.nExperience designing experiments with clear metrics, baselines, datasets, evaluation plans, and go u002F no-go criteria.nAbility to write clear project plans, technical specs, research summaries, experiment reports, and production-readiness documentation.nA track record of technical ownership and the ability to independently drive projects from ambiguity through implementation and delivery.nStrong collaboration skills and comfort working with researchers, engineers, 3D modelers, infrastructure teams, product partners, and other cross-functional stakeholders.nStrong product and engineering judgment, with the ability to balance technical ambition, customer value, production constraints, scalability, reliability, timing, and business impact.nMaster's or PhD in Computer Science, Machine Learning, Computer Vision, Robotics, Graphics, or a related field.nnFor Staff-level candidates, we also look for deeper technical leadership and broader organizational impact, including:nnExperience building and shipping production CV, ML, or 3D reconstruction systems at scale.nAbility to define technical direction, architectural strategy, evaluation methodology, and qualityu002Fperformance standards for complex CV or ML systems.nProven ability to lead initiatives from early-stage research and experimentation through production deployment, monitoring, and long-term system ownership.nStrong product and engineering judgment, with the ability to balance technical ambition, customer value, scalability, reliability, timing, cost, and business impact.nAbility to operate effectively in ambiguous problem spaces, make pragmatic tradeoff decisions, and drive alignment across cross-functional stakeholders.nStrong communication and influence skills, including the ability to translate complex technical concepts, constraints, and tradeoffs for both technical and non-technical audiences.nExperience mentoring engineers and raising the technical bar through architecture reviews, technical leadership, experimentation frameworks, and engineering best practices.nTrack record of translating research, experimentation, or technical innovation into measurable product, customer, or business impact.nnNice to havesnnResearch or industry experience in modern reconstruction and spatial AI approaches such as Gaussian Splatting, neural reconstruction, DUSt3R, MASt3R, VGGT, RoMa, surfels, volumetric methods, VLMs, or foundation-model-style approaches for 3D understanding.nPublications or research contributions in relevant venues such as CVPR, ICCV, ECCV, 3DV, ISMAR, SIGGRAPH, NeurIPS, or ICLR.nExperience with large-scale production ML systems, including model serving, monitoring, MLOps, distributed training, scalable data pipelines, and costu002Fperformance optimization.nFamiliarity with infrastructure and distributed systems tooling such as GCP, Kubernetes, Ray, or large-scale data processing frameworks.nExperience with geometry processing, graphics, rendering, CADu002FBIM workflows, mesh processing, or interactive 3D systems.nExperience with modern deep learning frameworks such as PyTorch or TensorFlow.nPractical experience leveraging AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or similar tools to accelerate research, prototyping, debugging, and production development.nnBenefitsnnCompensation - Competitive salary and meaningful equity in a fast-growing companynHealthcare - Comprehensive medical, dental, and vision coverage for you and dependentsnPaid Time Off - Unlimited and flexible vacation policy nPaid Family Leave - We support worku002Flife balance and offer generous paid parental and new child bonding leave nMandatory Self-Care Days - A day set aside each month to allow employees to recharge nRemote Wellbeing Resources - We provide recurring fitness classes, meditationu002F mindfulness tools, virtual therapy, and family planning assistance nLearning - We encourage continued education and will help cover the cost of management training, conferences, workshops, or certificationsnnHybrid roles at HovernHover has Hubs in San Francisco and New York City, where we expect that all employees living within a 50-mile radius of our offices will come into their local Hover office at least three times a week to build rapport and foster organic connection. At this time, Hover is not considering fully remote roles.nThe US base salary range for this full-time position is $188,000-$322,000 annually. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all applicable US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. We've posted a range that spans multiple levels within this position to reflect the breadth of candidates we're considering. n#LI-JN1 #LI-Hybrid